Scholar
Liqiang Lu
Google Scholar ID: wvpFjh0AAAAJ
Zhejiang University
Citations & Impact
Citations
1,623
H-index
15
i10-index
18
Publications
20
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- Authored over 30 scientific publications in top-tier conferences and journals including ISCA, ASPLOS, HPCA, MICRO, DAC, ICCAD, FCCM, TCAD, IEEE Micro. Served in the program committees of premier conferences such as DAC, ICCAD, DATE, FPT, HPCC, and as a reviewer in several top journals including TPDS, TC, TCAD, TECS, TVLSI.
Research Experience
- System, hardware, and software optimization for quantum computing; software-level optimization and quantum circuit compilation; quantum circuit analysis framework; quantum program verification and repair; circuit performance modeling for distributed quantum computing; MoE-based method for automatic quantum calibration; dynamic pulse cache for IO optimization; FPGA-based branch prediction for quantum feedback; RISC-V design for hybrid quantum-classical computing; hybrid multiplexing for scalable quantum wiring; quantum error mitigation and error correction; finite element method for readout error mitigation; sparse accelerator for readout error mitigation; accurate and fast decoding for quantum LDPC codes; software-hardware codesign for quantum applications; end-to-end acceleration for solving 3-SAT problems; optimization for quantum neural networks; Hamiltonian design for constrained binary optimization; quantum finance algorithm optimization for portfolio optimization; architecture design and dataflow analysis for AI applications; tensor dataflow analysis and optimization theory; dataflow decomposition for DSE; automatic mapping on spatial architecture; AI accelerator and sparse accelerator design; Transformer accelerator; Winograd- and FFT-based fast algorithms for CNN; reconfigurable systolic array; agile spatial accelerator for tensor algebra; hardware-software codesign for sparsity; sparse Winograd-based accelerator; sparse CNN accelerator; hardware-friendly CNN compression.
Education
- Received his Ph.D. from Peking University in 2022, advised by Prof. Yun Liang; received his Bachelor's degree from Peking University in 2017.
Background
- Currently an assistant professor (ZJU100 Young Professor) in the College of Computer Science and Technology at Zhejiang University. Research interests include computer architecture, quantum computing, electronic design automation (EDA), and hardware-software co-design. Recently, he mainly focuses on dataflow modeling of tensor computing, software optimization for quantum computing, and hybrid algorithm design by mixing classical and quantum computing.
Miscellany
- Looking for highly self-motivated PhD students, postdocs, and undergraduate interns interested in computer architecture and quantum computing. Students with strong hands-on system building skills, algorithm background, and physics background are especially welcomed.
